HOW WE MADE WINDOW JOIN PARALLEL AND VECTORIZED

Summary from the TLDR Dev newsletter

QuestDB recently optimized its WINDOW JOIN operator by implementing data-level parallelism and SIMD-vectorized aggregation kernels, resulting in performance gains up to 25x faster than competitors. By using a dedicated operator that recognizes window structures and organizes data into contiguous memory buffers, the system minimizes overhead and maximizes CPU efficiency for demanding time-series workloads.